do_TermEnrichmentPlot() | GO/pathway term enrichment

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This function visualizes enriched GO terms or pathways from over-representation analysis (e.g., using clusterProfiler). Displays terms as a dot plot with gene count and p-values.

Basic usage

First run enrichment analysis:

# Using clusterProfiler

enrichment_result <- clusterProfiler::enrichGO(
  gene = Seurat::VariableFeatures(sample)[1:100],
  OrgDb = org.Hs.eg.db,
  keyType = "SYMBOL",
  ont = "BP"
)

p <- SCpubr::do_TermEnrichmentPlot(mat = enrichment_result@result)
p

Adjust number of terms

p <- SCpubr::do_TermEnrichmentPlot(mat = enrichment_result@result,
                                   n.terms = 15)
p

Control term wrapping

p <- SCpubr::do_TermEnrichmentPlot(mat = enrichment_result@result,
                                   n.chars = 30)  # Shorter lines
p

Adjust dot size

p <- SCpubr::do_TermEnrichmentPlot(mat = enrichment_result@result,
                                   dot.scale = 6)
p

Parameter reference

Note

For parameters shared across many functions (color palettes, typography, legend styling, grid), see Shared features.

Core parameters

Parameter Description Default
mat Enrichment result (via @result) —
n.terms Number of terms to show 25
n.chars Characters before wrapping 40
dot.scale Dot size multiplier 8

See also